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1. Suppose the age distribution in Sydney is as follows:
Under 18 22%18 - 25 18%26 - 50 36%51 - 65 10%Over 65 14%Total 100%
A researcher is conducting proportionate stratified random sampling with a sample size of 250. Approximately how many people should be sampled from each stratum?
2. Candidate Hughes believes she will receive 55% of the total votes cast in her county. However, in an attempt to validate this figure, her pollster contacts a random sample of 600 registered voters in the county. The poll results show that 298 of the voters say they are committed to voting for her. If she actually has 55% of the total vote, what is the probability of getting a sample proportion this small or smaller? Do you think she actually has 55% of the vote? Why or why not?
3. The average cost of a one bedroom apartment in a town is $550 per month. What is the probability of randomly selecting a sample of 50 one bedroom apartments in this town and getting a sample mean of less then $530 if the population standard deviation is $100?
For the samples summarized below, test the hypothesis that the two variances are equal, at α = 0.05
What is the probability for the given frequency distribution?
a) Test whether there is a difference between attitudes in the 2 cities. Use a 95% alpha. b) What does your result say about attitude consistency across cities?
What is Optimal solution? Using Linear Programming or any other methods (Optional) Explain in Detail What does it mean "Optimal Solution"?
Determine the mean and standard error of the x - bar distribution.
Suppose your instructor randomly surveyed his or her performance (i.e., students "graded" the teacher) over many years (assume an 'infinite' population). The frequency of ratings were as follows:
Develop a 90 percent confidence interval for the proportion opposing health care changes. (Round your answers to 4 decimal places.)
The article should include a margin of error and confidence interval. Discuss the subject matter in the article, and interpret the results and what the confidence interval and margin of error mean as they apply to the specific subject matter.
The Quick Change Oil Company has a number of outlets in the Seattle area. The daily number of oil changes at outlet in past twenty days are:
Probability of Winning the Lottery: Because the California Fantasy 5 lottery is won by selecting the correct five numbers
What is the approximate probability that the combined weight of 25 items exceeds 445 ounces? What theorem is useful in answering this question?
A PC manufacturer claims that no more than 2% of their machines are defective. In a random sample of 100 machines, it is found that 5% are defective. The manufacturer claims this is a fluke of the sample.
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